{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:XYA2IFMHPLAQTI7TGAOGCWJGAY","short_pith_number":"pith:XYA2IFMH","canonical_record":{"source":{"id":"1909.01861","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-04T15:09:22Z","cross_cats_sorted":[],"title_canon_sha256":"336ce540447868a5f063e54bf2891a574a486323721180a7c5bf60fd5b89cefe","abstract_canon_sha256":"180cfbb12f682186960f08b71eab11d0c534e541012f396e218a163931e346f8"},"schema_version":"1.0"},"canonical_sha256":"be01a415877ac109a3f3301c61592606320f4b0b354fb7b9ccd815adf14aaf1d","source":{"kind":"arxiv","id":"1909.01861","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.01861","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"arxiv_version","alias_value":"1909.01861v1","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.01861","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"pith_short_12","alias_value":"XYA2IFMHPLAQ","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"pith_short_16","alias_value":"XYA2IFMHPLAQTI7T","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"pith_short_8","alias_value":"XYA2IFMH","created_at":"2026-07-05T00:02:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:XYA2IFMHPLAQTI7TGAOGCWJGAY","target":"record","payload":{"canonical_record":{"source":{"id":"1909.01861","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-04T15:09:22Z","cross_cats_sorted":[],"title_canon_sha256":"336ce540447868a5f063e54bf2891a574a486323721180a7c5bf60fd5b89cefe","abstract_canon_sha256":"180cfbb12f682186960f08b71eab11d0c534e541012f396e218a163931e346f8"},"schema_version":"1.0"},"canonical_sha256":"be01a415877ac109a3f3301c61592606320f4b0b354fb7b9ccd815adf14aaf1d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:02:21.148965Z","signature_b64":"k7tDkcLNCNK4bB/i0C8eL0tkeEiqoQizFo3XECPsXSfnbZ9HNSZ6I2G4G2B3wwO3ERYOxlxybWGFWTaINhpHAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be01a415877ac109a3f3301c61592606320f4b0b354fb7b9ccd815adf14aaf1d","last_reissued_at":"2026-07-05T00:02:21.148624Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:02:21.148624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.01861","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:02:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L2f7/Gm2qtIKcGEYVIAOouxkXdA4WmuqPs1pal3WDJ5b4sGg03H4OJU3XNMyrKhkBvOZpI2bK0mNAo1xY7pUBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T07:09:04.701476Z"},"content_sha256":"09f3c40574852297dac0d0372c7bebac001745474e2fd0b02bcc2ef11b68fbd4","schema_version":"1.0","event_id":"sha256:09f3c40574852297dac0d0372c7bebac001745474e2fd0b02bcc2ef11b68fbd4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:XYA2IFMHPLAQTI7TGAOGCWJGAY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking the Number of Channels for the Convolutional Neural Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu, Zhulin An","submitted_at":"2019-09-04T15:09:22Z","abstract_excerpt":"Latest algorithms for automatic neural architecture search perform remarkable but few of them can effectively design the number of channels for convolutional neural networks and consume less computational efforts. In this paper, we propose a method for efficient automatic architecture search which is special to the widths of networks instead of the connections of neural architecture. Our method, functionally incremental search based on function-preserving, will explore the number of channels rapidly while controlling the number of parameters of the target network. On CIFAR-10 and CIFAR-100 cla"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.01861","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1909.01861/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:02:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ep6MV2y9NEIpqcwM3viPgZoYNrVQYUf4bXyIFoYDPzN6rQf1GoQo1WoT3Sdki/F/iH/G//A2ZFITqjBKo8EdBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T07:09:04.701999Z"},"content_sha256":"7fcf649a6cc8978ef5accd1acf158d2a4c16d372aaab64b134d6154cc21b00bb","schema_version":"1.0","event_id":"sha256:7fcf649a6cc8978ef5accd1acf158d2a4c16d372aaab64b134d6154cc21b00bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XYA2IFMHPLAQTI7TGAOGCWJGAY/bundle.json","state_url":"https://pith.science/pith/XYA2IFMHPLAQTI7TGAOGCWJGAY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XYA2IFMHPLAQTI7TGAOGCWJGAY/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-18T07:09:04Z","links":{"resolver":"https://pith.science/pith/XYA2IFMHPLAQTI7TGAOGCWJGAY","bundle":"https://pith.science/pith/XYA2IFMHPLAQTI7TGAOGCWJGAY/bundle.json","state":"https://pith.science/pith/XYA2IFMHPLAQTI7TGAOGCWJGAY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XYA2IFMHPLAQTI7TGAOGCWJGAY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XYA2IFMHPLAQTI7TGAOGCWJGAY","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"180cfbb12f682186960f08b71eab11d0c534e541012f396e218a163931e346f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-04T15:09:22Z","title_canon_sha256":"336ce540447868a5f063e54bf2891a574a486323721180a7c5bf60fd5b89cefe"},"schema_version":"1.0","source":{"id":"1909.01861","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.01861","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"arxiv_version","alias_value":"1909.01861v1","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.01861","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"pith_short_12","alias_value":"XYA2IFMHPLAQ","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"pith_short_16","alias_value":"XYA2IFMHPLAQTI7T","created_at":"2026-07-05T00:02:21Z"},{"alias_kind":"pith_short_8","alias_value":"XYA2IFMH","created_at":"2026-07-05T00:02:21Z"}],"graph_snapshots":[{"event_id":"sha256:7fcf649a6cc8978ef5accd1acf158d2a4c16d372aaab64b134d6154cc21b00bb","target":"graph","created_at":"2026-07-05T00:02:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1909.01861/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Latest algorithms for automatic neural architecture search perform remarkable but few of them can effectively design the number of channels for convolutional neural networks and consume less computational efforts. In this paper, we propose a method for efficient automatic architecture search which is special to the widths of networks instead of the connections of neural architecture. Our method, functionally incremental search based on function-preserving, will explore the number of channels rapidly while controlling the number of parameters of the target network. On CIFAR-10 and CIFAR-100 cla","authors_text":"Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu, Zhulin An","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-04T15:09:22Z","title":"Rethinking the Number of Channels for the Convolutional Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.01861","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:09f3c40574852297dac0d0372c7bebac001745474e2fd0b02bcc2ef11b68fbd4","target":"record","created_at":"2026-07-05T00:02:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"180cfbb12f682186960f08b71eab11d0c534e541012f396e218a163931e346f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-09-04T15:09:22Z","title_canon_sha256":"336ce540447868a5f063e54bf2891a574a486323721180a7c5bf60fd5b89cefe"},"schema_version":"1.0","source":{"id":"1909.01861","kind":"arxiv","version":1}},"canonical_sha256":"be01a415877ac109a3f3301c61592606320f4b0b354fb7b9ccd815adf14aaf1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be01a415877ac109a3f3301c61592606320f4b0b354fb7b9ccd815adf14aaf1d","first_computed_at":"2026-07-05T00:02:21.148624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:02:21.148624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k7tDkcLNCNK4bB/i0C8eL0tkeEiqoQizFo3XECPsXSfnbZ9HNSZ6I2G4G2B3wwO3ERYOxlxybWGFWTaINhpHAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:02:21.148965Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.01861","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:09f3c40574852297dac0d0372c7bebac001745474e2fd0b02bcc2ef11b68fbd4","sha256:7fcf649a6cc8978ef5accd1acf158d2a4c16d372aaab64b134d6154cc21b00bb"],"state_sha256":"86e9023b5421ae8811f2994efd46c32693e7adf8a82e1ea68fbf2e10e72e7d7d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lEtKcbmqNzU3L7rWh84A5Vo2XANm+DiArY5fECvmPxYPPC/0oWxlhO7iZsPJxmbrpQao1CEcAuEk+HsszzcSBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T07:09:04.707452Z","bundle_sha256":"e865edf07cf9b67cb8a831ea509eaef266c391941d8ede5313858b6a3556e43c"}}